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Paper Citation Record · LEDGER

Efficient Privacy-Preserving Computation Based on Additive Secret Sharing

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.05356.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2009.05356 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:40:48.730256Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-15T20:40:48.790209Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0d28be81-df51-4050-adcc-c0bc5a135969 · inbound

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding cites this paper.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Efficient Privacy-Preserving Computation Based on Additive Secret Sharing

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:40:48.796707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.730256Z digest=sha256:8ff50502feee12dfbfd55366a268d4e82ad79961a4de1dbb90d15d6bdd33af74

Observation 2df50143-4e2b-4eb4-905f-e29f70b0fcc7 · inbound

CryptGNN: Enabling Secure Inference for Graph Neural Networks cites this paper.

CryptGNN: Enabling Secure Inference for Graph Neural Networks Efficient Privacy-Preserving Computation Based on Additive Secret Sharing

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T19:49:44.100571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:49:44.100571Z digest=sha256:ba54b4f52c755373be079aa4899e9c4cae8bdb5bd60a1587b57d30c5546353d6